Abstract
Cerebral microbleeds (CMBs) are tiny chronic brain haemorrhages that have been recognised as prognostic indicators for a number of acute cerebrovascular disorders, such as stroke, traumatic disorder, and Alzheimer’s disease. For early-stage chronic disease diagnosis, it is challenging to automate the detection of CMBs and increase the reliability of prediction outputs. This study developed a system for identifying microbleeds in MRI images and gene expression data and determining the severity of Alzheimer’s disease (AD). Initially, a spike neural network (SNN) and decision tree were utilised to identify microbleeds in AD from MRI images and gene expression respectively. However, the conclusions of these two methods cannot be interpreted due to the complexity of their internal processing steps. This study proposed two explainable artificial intelligence (XAI) methods for interpreting prediction outputs in an effort to boost reliability. Pixel density analysis (PDA) and probabilistic graphical model (PGM) explain the decision-making processes for MRI images and gene expression data for the diagnosis of microbleeds and the severity analysis of AD.
Original language | English |
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Title of host publication | 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC) |
Subtitle of host publication | Proceedings |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9798350324471 |
ISBN (Print) | 9798350324488 (Print on demand) |
DOIs | |
Publication status | Published - Jul 2023 |
Event | 45th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society - International Convention Centre, Sydney, Australia Duration: 24 Jul 2023 → 27 Jul 2023 https://embc.embs.org/2023/ https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10339936/proceeding (Proceedings) https://embc23-c10000.eorganiser.com.au/index.php?r=programWebService/newIndex#!/event (Program) |
Publication series
Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference |
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ISSN (Print) | 2375-7477 |
Conference
Conference | 45th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society |
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Abbreviated title | Engineering better and more resilient healthcare for all |
Country/Territory | Australia |
City | Sydney |
Period | 24/07/23 → 27/07/23 |
Internet address |